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This document discusses how to create PivotDiagrams in Visio2007 to visualize and analyze data from Excel or a database. It describes a 3 step process: 1) insert a PivotDiagram, 2) link it to a data source, and 3) expand the Pivot Node to show different levels of data. PivotDiagrams allow users to dynamically link drawings to data for faster and easier analysis compared to static diagrams. Data graphics elements like text, data bars, and icons can then be used to represent different fields and metrics from the data set.
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In Week 1, you discussed GIG, Inc.s benefits and concerns with .docx
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Assignment ContentIn Week 1, you discussed GIG, Inc.s ben.docx
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Basics of Microsoft Business Intelligence and Data Integration Techniques
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📕 Detailed agenda:
Variables and Datatypes
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💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
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Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
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JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
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Northern Engraving | Nameplate Manufacturing Process - 2024
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This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
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Containers & AI - Beauty and the Beast!?!
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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AppSec PNW: Android and iOS Application Security with MobSF
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Using MobSF for static analysis of mobile applications.
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Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
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What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
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Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
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AWS Certified Solutions Architect Associate (SAA-C03)
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Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
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Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
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AWS Certified Solutions Architect Associate (SAA-C03)
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From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
Sox pivot diagram
- 1. Visio2007 Data Graphic Overlay Sarbanes-Oxley Pivot Diagrams
- 2. 3 Steps to create PivotDiagrams Data Graphic - Pivot The PivotDiagram enables users to create data linked dynamic drawings faster & easier than ever before Use the data to create a PivotDiagram via the Insert PivotDiagram menu Create data in an Excel file or Database Data Graphics show the context of data Expand the Pivot Node to show various levels of sub-nodes that correspond to the data you want to analyze 2 1 3
- 3. Data Graphic Detail Pivot Diagrams Data Graphic - Pivot • Title – Text element • Control Number – Text element • Risk Level – Data bar • Maturity Level – Data bar • Risk Level(Avg) – Icon set • Maturity Level(Avg) – Icon set Data Graphics are made up of elements that give the user a more complete view of their system
- 4. © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.